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Description

The continuous integration tool known as Apache Gump was the inaugural project created by the Apache Software Foundation. Developed in Python, it offers comprehensive support for build tools like Apache Ant and Apache Maven (versions 1.x to 3.x). What sets Gump apart is its capability to build and compile software against the most recent development iterations of various projects. This functionality enables Gump to identify potentially breaking changes to software just hours after they are committed to the version control system. Upon detecting such changes, it promptly alerts the project team, providing access to more extensive reports online for further investigation. While you can install and operate Gump on your personal computer to manage your own projects, it is predominantly recognized for its role in building numerous Apache projects and their respective dependencies. To facilitate this, the Gump initiative maintains a dedicated server specifically for its operations, ensuring efficiency and reliability in continuous integration processes. Gump's commitment to early detection of issues greatly enhances the overall software development cycle.

Description

IBM Analytics Engine offers a unique architecture for Hadoop clusters by separating the compute and storage components. Rather than relying on a fixed cluster with nodes that serve both purposes, this engine enables users to utilize an object storage layer, such as IBM Cloud Object Storage, and to dynamically create computing clusters as needed. This decoupling enhances the flexibility, scalability, and ease of maintenance of big data analytics platforms. Built on a stack that complies with ODPi and equipped with cutting-edge data science tools, it integrates seamlessly with the larger Apache Hadoop and Apache Spark ecosystems. Users can define clusters tailored to their specific application needs, selecting the suitable software package, version, and cluster size. They have the option to utilize the clusters for as long as necessary and terminate them immediately after job completion. Additionally, users can configure these clusters with third-party analytics libraries and packages, and leverage IBM Cloud services, including machine learning, to deploy their workloads effectively. This approach allows for a more responsive and efficient handling of data processing tasks.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acquia CDP No 
Apache Spark No 
Galileo No 
Hadoop No 
IBM Cloud Object Storage No 
MINT No 
RadiantOne No 
Switch Automation No 
ZARUS No 

Integrations

Acquia CDP Yes 
Apache Spark Yes 
Galileo Yes 
Hadoop Yes 
IBM Cloud Object Storage Yes 
MINT Yes 
RadiantOne Yes 
Switch Automation Yes 
ZARUS Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.014 per hour
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

gump.apache.org

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/analytics-engine

Product Features

Continuous Integration

Build Log No 
Change Management Yes 
Configuration Management No 
Continuous Delivery No 
Continuous Deployment No 
Debugging No 
Permission Management No 
Quality Assurance Management No 
Testing Management No 

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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